CENTRIC Open-Source Repositories for ML Community

The CENTRIC project has published several open datasets and training environments for researchers and developers, as early adopters of CENTRIC results, working on emerging ML techniques for broad application in wireless communications.

 All are available on our CENTRIC’s MIMO AI Toolset & CENTRIC WP4 GitHubs.

On its way towards the goal of enabling sustainable user-centric 6G networks through an AI-native Air Interface, the CENTRIC project is leveraging Artificial Intelligence (AI) and Machine Learning (ML) techniques through a top-down, modular approach to wireless connectivity focusing on users’ communication needs and environmental constraints at the centre of the network stack design. To achieve this, the CENTRIC project team worked on the establishment and investigation of numerous ML techniques for their application in different aspects of network design, covering both physical and MAC networking layers, resulting in several open source repositories and data sets, allowing also wide research community to (re-)use the CENTRIC results, but also to investigate and validate own emerging solutions.

CENTRIC’s AI-based MIMO Toolset links: full set here

 

CENTRIC Repositories for Protocol Learning and Emergence Challenges links: full set here

Check the 5th edition newsletter for more details and a summarized description of the provided open-source repositories, now available for the wide researcher community.

Detailed descriptions of the repositories, including relevant use cases, results, and further useful information for users of the repositories can be found in the CENTRIC project deliverables D3.4 and D4.1, which are available on our website at https://centric-sns.eu/public-deliverables/